FRC-QE: a robust and comparable 3D microscopy image quality metric for cleared organoids

Autor(es)

Preusser, Friedrich ^[1] ; Dos Santos, Natalia ^[2] ; Contzen, Joerg ^[3] ; Stachelscheid, Harald ^[4] ; Costa, Erico Tosoni ^[2] ; Mergenthaler, Philipp ^{[3, 5, 6]} ; Preibisch, Stephan ^{[1, 7]}

Afiliação do(s) autor(es)

^[1] Max Delbruck Ctr Mol Med, Berlin Inst Med Syst Biol BIMSB, Helmholtz Assoc MDC, D-10115 Berlin - Germany

^[2] Hosp Sirio Libanese, Mol Oncol Ctr, BR-01308050 Sao Paulo, SP - Brazil

^[3] Charite Univ Med Berlin, Ctr Stroke Res Berlin, Dept Expt Neurol, D-10117 Berlin - Germany

^[4] Charite Univ Med Berlin, Stem Cell Core Facil, Berlin Inst Hlth, D-13353 Berlin - Germany

^[5] Charite Univ Med Berlin, Dept Neurol, D-10117 Berlin - Germany

^[6] Charite Univ Med Berlin, BIH Acad, Berlin Inst Hlth, D-10117 Berlin - Germany

^[7] Howard Hughes Med Inst, Janelia Res Campus, Ashburn, VA 20147 - USA

• Tipo de documento: Artigo Científico
• Fonte: Bioinformatics; v. 37, n. 18, p. 3088-3090, SEP 15 2021.
• Citações Web of Science: 0

Resumo

Here, we propose Fourier ring correlation-based quality estimation (FRC-QE) as a new metric for automated image quality estimation in 3D fluorescence microscopy acquisitions of cleared organoids that yields comparable measurements across experimental replicates, clearing protocols and works for different microscopy modalities. (AU)

• Processo FAPESP: 19/06305-4 - Análises morfométricas tridimensionais: quantificando o crescimento infiltrativo de astrocitomas em modelo animal
• Beneficiário: Natália Cristina dos Santos
• Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Iniciação Científica